Full name Familienname, Vorname
Arneth, Almut
 

Results 1-5 of 5 (Search time: 0.001 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Gonsamo, Alemu ; Ciais, Philippe ; Miralles, Diego G. ; Sitch, Stephen ; Dorigo, Wouter ; Lombardozzi, Danica ; Friedlingstein, Pierre ; Nabel, Julia E. M. S. ; Goll, Daniel S. ; O'Sullivan, Michael ; Arneth, Almut ; Anthoni, Peter ; Jain, Atul K. ; Wiltshire, Andy ; Peylin, Philippe ; Cescatti, Alessandro Greening drylands despite warming consistent with carbon dioxide fertilization effectArtikel Article 2021
2Forkel, Matthias ; Andela, Niels ; Harrison, Sandy ; Lasslop, Gitta ; Van Marle, Margreet J.E. ; Chuvieco, Emilio ; Dorigo, Wouter ; Forrest, Matthew ; Hantson, Stijn ; Heil, Angelika ; Li, Fang ; Melton, Joe ; Sitch, Stepehen ; Yue, Chao ; Arneth, Almut Emergent relationships between burned area and controls in global satellite observations and FireMIP modelsKonferenzbeitrag Inproceedings2019
3Forkel Matthias - 2019 - Emergent relationships with respect to burned area in...pdf.jpgForkel, Matthias ; Andela, Niels ; Harrison, Sandy P. ; Lasslop, Gitta ; van Marle, Margreet ; Chuvieco, Emilio ; Dorigo, Wouter ; Forrest, Matthew ; Hantson, Stijn ; Heil, Angelika ; Li, Fang ; Melton, Joe ; Sitch, Stephen ; Yue, Chao ; Arneth, Almut Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation modelsArticle Artikel 2019
4Forkel, Matthias ; Harrison, Sandy ; Andela, Niels ; Lasslop, Gitta ; Van Marle, Margreet J.E. ; Dorigo, Wouter ; Forrest, Matthew ; Hantson, Stijn ; Heil, Angelika ; Li, Fang ; Mangeon, Stephane ; Melton, Joe ; Yue, Chao ; Arneth, Almut What controls global fire activity? Evaluating emergent responses in satellite observations and ecosystem models using machine learningPräsentation Presentation2018
5Forkel, Matthias ; Andela, Niels ; Van Marle, Margreet J.E. ; Forrest, Matthew ; Hantson, Stijn ; Heil, Angelika ; Lasslop, Gitta ; Li, Fang ; Mangeon, Stephane ; Melton, Joe ; Yue, Chao ; Arneth, Almut Evaluating responses of burned area to environmental and human controls in global vegetation-fire models using satellite data and machine learningKonferenzbeitrag Inproceedings2018